# R

R statistical programming related stuff

## How to Sum Rows in R: Master Summing Specific Rows with dplyr

Explore how to sum rows in R using dplyr’s powerful functions and enhance your data analysis. Sum across specific rows and based on conditions.

## How to Check if a File is Empty in R: Practical Examples

In this post, you will learn how to efficiently determine if a file is empty in R using the file.info() and file.size() functions. We will explore practical examples and scenarios, including reading multiple files. Mastering these techniques empowers streamlined file validation for effective data processing and analysis.

## Modulo in R: Practical Example using the %% Operator

Unlock the potential of Modulo in R with practical applications. Explore data segmentation, odd/even checks, day filtering, and optimized iterations for streamlined coding efficiency.

## Check R Version in RStudio: A Quick and Simple Tutorial

Learn how to check the R version in RStudio and ensure reproducibility. Discover the best method for compatibility and smooth data analysis. Follow simple steps for quick access to version details.

## Z Test in R: A Tutorial on One Sample & Two Sample Z Tests

Z test in R is a crucial statistical tool for hypothesis testing. This comprehensive guide covers one-sample and two-sample Z tests, providing practical examples utilizing base R and the BSDA package.

## Binning in R: Create Bins of Continuous Variables

three methods to create bins in R

## How to Create a Word Cloud in R

Dive into the fascinating world of data visualization with word cloud in R! Discover how to craft captivating word clouds, unlocking valuable insights from your text data. This comprehensive guide will take you step-by-step, allowing you to create visually stunning representations of word frequencies and explore the power of R’s wordcloud package.

## Coefficient of Variation in R

By exploring the correlation of coefficients in R, you can identify patterns and dependencies among variables, enhancing your understanding of data relationships.

## Correlation in R: Coefficients, Visualizations, & Matrix Analysis

Discover the power of correlation in R as you unravel hidden relationships in your data. From calculating correlation coefficients to visualizing patterns, dive into the world of data analysis and uncover the insights that lie within. Get ready to unlock the secrets of correlation in R.

## ggplot Center Title: A Guide to Perfectly Aligned Titles in Your Plots

In this R tutorial, you will discover how to use ggplot to center the title effectively. Centering the title is crucial to creating visually appealing plots, and, e.g., enabling better communication of insights. We will explore examples from hearing science and psychology to demonstrate the significance of centering titles in ggplot2 objects.

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